Triple

T15333860
Position Surface form Disambiguated ID Type / Status
Subject Yahoo E366609 entity
Predicate product P490 FINISHED
Object Yahoo Answers E438364 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Yahoo Answers | Statement: [Yahoo, product, Yahoo Answers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yahoo Answers
Context triple: [Yahoo, product, Yahoo Answers]
  • A. Yahoo! Answers chosen
    Yahoo! Answers was a community-driven question-and-answer platform where users could ask questions and receive answers from other users across a wide range of topics.
  • B. Ask 4 Me
    "Ask 4 Me" is a track by The Game from his 2019 studio album "Born 2 Rap."
  • C. Yahoo
    Yahoo is a pioneering web services company best known for its web portal, search engine, email service, and online media offerings.
  • D. Question Me an Answer
    "Question Me an Answer" is a musical number featured in the 1973 film adaptation of "Lost Horizon."
  • E. The Answers
    The Answers is the debut studio album by American alternative rock band Blue October, showcasing their early emotionally driven and melodic rock sound.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e0268608190947a58f559a67717 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01ee7480819080133a9910a2bf52 completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:17 a.m.